code: def __call__(self, shape):
      if self.apply_scale:
          sqrt_n = np.sqrt(shape[1])
      else:
          sqrt_n = 1
  
      D = np.random.standard_t(self.nu, size=shape)
  
      # Return correctly scaled version of D
      return D / sqrt_n + self.mu / sqrt_n**2
  
imports: import numpy
  import abc
  from scipy.stats import gennorm
  from scipy.special import gamma
  from scipy.stats import laplace
label_desc: Use image node_id 2 for calling the StudentT obj's underlying member method code with example usage: obj.__call__(shape) and returns: unknown